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DBMS > MonetDB vs. OrientDB vs. VictoriaMetrics

System Properties Comparison MonetDB vs. OrientDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonOrientDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsMulti-model DBMS (Document, Graph, Key/Value)A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#125  Overall
#60  Relational DBMS
Score4.40
Rank#80  Overall
#13  Document stores
#5  Graph DBMS
#12  Key-value stores
Score0.56
Rank#231  Overall
#18  Time Series DBMS
Websitewww.monetdb.orgorientdb.orgvictoriametrics.com
Technical documentationwww.monetdb.org/­Documentationwww.orientdb.com/­docs/­last/­index.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMonetDB BVOrientDB LTD; CallidusCloud; SAPVictoriaMetrics
Initial release200420102018
Current releaseOct2020-SP2, January 20213.1.9, February 2021v1.63, July 2021
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaGo
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL-like query language, no joinsno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes, in SQL, C, RJava, Javascriptno
TriggersyesHooksno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusMulti-source replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable
More information provided by the system vendor
MonetDBOrientDBVictoriaMetrics
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
High performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Specifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
When the current monitoring solution can't keep up with increasing workload Kubernetes...
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Grammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metrics4.9k stars and 70+ contributors on GitHub 20M+ downloads Thousands of active users...
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
VictoriaMetrics comes in two versions: an open source version and an Enterprise version....
» more

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More resources
MonetDBOrientDBVictoriaMetrics
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